code: def forward(self, x, pos_embed, qk_mask=None, k_mask=None):
      for i, l in enumerate(self.layers):
          x = l(x, pos_embed, qk_mask, k_mask)
      return x
  
file_path: ml-ane-transformers/ane_transformers/reference/encoder.py
imports: import copy
  import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the TransformerEncoder obj's underlying member method code with example usage: obj.forward(x, pos_embed, qk_mask, k_mask) and returns: x